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Building Scalable Database Applications
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Book Synopsis Building Scalable Database Applications by : Peter Marc Heinckiens
Download or read book Building Scalable Database Applications written by Peter Marc Heinckiens and published by Addison-Wesley Professional. This book was released on 1998 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to building business and database client/server applications with reusable components, for software engineers and programmers. Business and database models illustrate challenges in manipulating object storage and retrieval from a developer's point of view, emphasizing integration of legacy and relational systems with object- oriented systems. Coverage includes Scoop architecture, designing reusable business components, modeling and implementing associations, and separating the user interface from the business model. Annotation copyrighted by Book News, Inc., Portland, OR
Book Synopsis Building Highly Scalable Database Applications with .NET by : Wallace B. McClure
Download or read book Building Highly Scalable Database Applications with .NET written by Wallace B. McClure and published by John Wiley & Sons. This book was released on 2002-06-25 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the only book on the market to focus on addressing issues of building highly scalable database applications with .NET technologies. Comprehensive coverage includes building .NET applications for all the major RDBMSs: SQL Server, Oracle, DB2, and MySQL.
Book Synopsis Building Scalable Web Sites by : Cal Henderson
Download or read book Building Scalable Web Sites written by Cal Henderson and published by "O'Reilly Media, Inc.". This book was released on 2006-05-16 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building, scaling, and optimizing the next generation of Web applications.
Book Synopsis Designing Data-Intensive Applications by : Martin Kleppmann
Download or read book Designing Data-Intensive Applications written by Martin Kleppmann and published by "O'Reilly Media, Inc.". This book was released on 2017-03-16 with total page 658 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures
Download or read book Transactional COM+ written by Tim Ewald and published by Addison-Wesley Professional. This book was released on 2001 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tim Ewald, COM columnist for DOC Magazine, explains how COM+ works, and then sets out specific rules intended as concrete guidelines to help developers build COM+ systems.
Book Synopsis Building Scalable and High-performance Java Web Applications Using J2EE Technology by : Greg Barish
Download or read book Building Scalable and High-performance Java Web Applications Using J2EE Technology written by Greg Barish and published by Addison-Wesley Professional. This book was released on 2002 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scaling Java enterprise applications beyond just programming techniques--this is the next level. This volume covers all the technologies Java developers need to build scalable, high-performance Web applications. The book also covers servlet-based session management, EJB application logic, database design and integration, and more.
Book Synopsis Building Scalable Apps with Redis and Node.js by : Joshua Johanan
Download or read book Building Scalable Apps with Redis and Node.js written by Joshua Johanan and published by Packt Publishing Ltd. This book was released on 2014-09-25 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: If the phrase scalability sounds alien to you, then this is an ideal book for you. You will not need much Node.js experience as each framework is demonstrated in a way that requires no previous knowledge of the framework. You will be building scalable Node.js applications in no time! Knowledge of JavaScript is required.
Book Synopsis Developing Modern Database Applications with PostgreSQL by : Dr. Quan Ha Le
Download or read book Developing Modern Database Applications with PostgreSQL written by Dr. Quan Ha Le and published by Packt Publishing Ltd. This book was released on 2021-08-13 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get up to speed with core PostgreSQL tasks such as database administration, application development, database performance monitoring, and database testing Key FeaturesBuild real-world enterprise database management systems using Postgres 12 featuresExplore the development, administrative and security aspects of PostgreSQL 12Implement best practices from industry experts to build powerful database applicationsBook Description PostgreSQL is an open-source object-relational database management system (DBMS) that provides enterprise-level services, including high performance and scalability. This book is a collection of unique projects providing you with a wealth of information relating to administering, monitoring, and testing PostgreSQL. The focus of each project is on both the development and the administrative aspects of PostgreSQL. Starting by exploring development aspects such as database design and its implementation, you'll then cover PostgreSQL administration by understanding PostgreSQL architecture, PostgreSQL performance, and high-availability clusters. Various PostgreSQL projects are explained through current technologies such as DevOps and cloud platforms using programming languages like Python and Node.js. Later, you'll get to grips with the well-known database API tool, PostgREST, before learning how to use popular PostgreSQL database testing frameworks. The book is also packed with essential tips and tricks and common patterns for working seamlessly in a production environment. All the chapters will be explained with the help of a real-world case study on a small banking application for managing ATM locations in a city. By the end of this DBMS book, you'll be proficient in building reliable database solutions as per your organization's needs. What you will learnSet up high availability PostgreSQL database clusters in the same containment, a cross-containment, and on the cloudMonitor the performance of a PostgreSQL databaseCreate automated unit tests and implement test-driven development for a PostgreSQL databaseDevelop PostgreSQL apps on cloud platforms using DevOps with Python and Node.jsWrite robust APIs for PostgreSQL databases using Python programming, Node.js, and PostgRESTCreate a geospatial database using PostGIS and PostgreSQLImplement automatic configuration by Ansible and Terraform for PostgresWho this book is for This PostgreSQL book is for database developers, database administrators, data architects, or anyone who wants to build end-to-end database projects using Postgres. This book will also appeal to software engineers, IT technicians, computer science researchers, and university students who are interested in database development and administration. Some familiarity with PostgreSQL and Linux is required to grasp the concepts covered in the book effectively.
Book Synopsis Cassandra: The Definitive Guide by : Jeff Carpenter
Download or read book Cassandra: The Definitive Guide written by Jeff Carpenter and published by "O'Reilly Media, Inc.". This book was released on 2016-06-29 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you’ll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This expanded second edition—updated for Cassandra 3.0—provides the technical details and practical examples you need to put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra’s non-relational design, with special attention to data modeling. If you’re a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you harness Cassandra’s speed and flexibility. Understand Cassandra’s distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlsh—the CQL shell Create a working data model and compare it with an equivalent relational model Develop sample applications using client drivers for languages including Java, Python, and Node.js Explore cluster topology and learn how nodes exchange data Maintain a high level of performance in your cluster Deploy Cassandra on site, in the Cloud, or with Docker Integrate Cassandra with Spark, Hadoop, Elasticsearch, Solr, and Lucene
Book Synopsis Developing with Couchbase Server by : MC Brown
Download or read book Developing with Couchbase Server written by MC Brown and published by "O'Reilly Media, Inc.". This book was released on 2013-02-01 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today’s highly interactive websites pose a challenge for traditional SQL databases—the ability to scale rapidly and serve loads of concurrent users. With this concise guide, you’ll learn how to build web applications on top of Couchbase Server 2.0, a NoSQL database that can handle websites and social media where hundreds of thousands of users read and write large volumes of information. Using food recipe information as examples, this book demonstrates how to take advantage of Couchbase’s document-oriented database design, and how to store and query data with various CRUD operations. Discover why Couchbase is better than SQL databases with memcached tiers for managing data from the most interactive portions of your application. Learn about Couchbase Server’s cluster-based architecture and how it differs from SQL databases Choose a client library for Java, .NET, Ruby, Python, PHP, or C, and connect to a cluster Structure data in a variety of formats, from serialized objects, a stream of raw bytes, or as JSON documents Learn core storage and retrieval methods, including document IDs, expiry times, and concurrent updates Create views with map/reduce and learn Couchbase mechanisms for querying and selection
Download or read book Scaling Oracle8i written by James Morle and published by Addison-Wesley Professional. This book was released on 2000 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the complete, expert guide to building enterprise-class UNIX-based Oracle OLTP systems that deliver maximum performance and scalability. In Scaling Oracle 8i, one of the world's leading Oracle consultants introduces today's best methods and technologies for building industrial-strength Oracle database systems on UNIX platforms. Understand exactly what scalability means in the enterprise; then discover how to deliver it, step-by-step, from the ground up, through design, testing, construction, maintenance, benchmarking, and ongoing management. Morle covers every component that impacts performance, including hashing, caching, hardware architecture and I/O subsystems, Oracle database objects, data storage, memory structures, and a detailed review of the Oracle Parallel Server. Readers will find comprehensive coverage of tuning the underlying UNIX platform to improve OLTP response times; including co-engineering the kernel; working with virtual memory, I/O, interprocess communication; and more. Scaling Oracle 8i contains a full chapter on the special issues associated with e-commerce, as well as a detailed case study drawn from one of the world's largest car rental reservations systems. For all enterprise system architects, database engineers, and application developers working with Oracle.
Book Synopsis The Data Access Handbook by : John Goodson
Download or read book The Data Access Handbook written by John Goodson and published by Prentice Hall. This book was released on 2009-02-26 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the eBook version of the printed book. If the print book includes a CD-ROM, this content is not included within the eBook version.This book offers powerful and strategic insight into application design, development and deployment with an emphasis on the role of database middleware on performance from the world's foremost experts on database connectivity. It breaks new ground by tackling performance issues outside of the database - that is, performance issues in the software that connects applications to databases. The book is unlike any other resource, focusing on application programming and deployment vs. the database itself to fully optimize network performance for immediate reward. Authors John Goodson and Rob Steward are well respected IT veterans, with nearly 40 years of combined experience developing data connectivity products and helping the world's leading independent software vendors and in-house IT departments build faster, more reliable, and more interoperable applications. Specifically, this book provides information that will help you: oUnderstand the different components of database middleware that can cause performance issues oDesign for optimal performance oWrite good application code oDevelop good benchmarks, tests that measures the performance of a database application on a well-defined task or set of tasks oTroubleshoot performance issues oSet realistic performance expectations This book is for software architects, IT staff, DBAs, and developers to use in their daily work to predict, diagnose, and solve performance issues in their database applications.
Book Synopsis Building Scalable Web Sites by : Cal Henderson
Download or read book Building Scalable Web Sites written by Cal Henderson and published by "O'Reilly Media, Inc.". This book was released on 2006-05-16 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn the tricks of the trade so you can build and architect applications that scale quickly--without all the high-priced headaches and service-level agreements associated with enterprise app servers and proprietary programming and database products. Culled from the experience of the Flickr.com lead developer, Building Scalable Web Sites offers techniques for creating fast sites that your visitors will find a pleasure to use. Creating popular sites requires much more than fast hardware with lots of memory and hard drive space. It requires thinking about how to grow over time, how to make the same resources accessible to audiences with different expectations, and how to have a team of developers work on a site without creating new problems for visitors and for each other. Presenting information to visitors from all over the world Integrating email with your web applications Planning hardware purchases and hosting options to have as much as you need without breaking your wallet Partitioning and distributing databases to support large datasets and simultaneous transactions Monitoring your applications to find and clear bottlenecks * Providing services APIs and using services from other providers to increase your site's reach and capabilities Whether you're starting a small web site with hopes of growing big or you already have a large system that needs maintenance, you'll find Building Scalable Web Sites to be a library of ideas for making things work.
Book Synopsis Scalable Big Data Architecture by : Bahaaldine Azarmi
Download or read book Scalable Big Data Architecture written by Bahaaldine Azarmi and published by Apress. This book was released on 2015-12-31 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term "Big Data", from the usage of No-SQL databases to the deployment of stream analytics architecture, machine learning, and governance. Scalable Big Data Architecture covers real-world, concrete industry use cases that leverage complex distributed applications , which involve web applications, RESTful API, and high throughput of large amount of data stored in highly scalable No-SQL data stores such as Couchbase and Elasticsearch. This book demonstrates how data processing can be done at scale from the usage of NoSQL datastores to the combination of Big Data distribution. When the data processing is too complex and involves different processing topology like long running jobs, stream processing, multiple data sources correlation, and machine learning, it’s often necessary to delegate the load to Hadoop or Spark and use the No-SQL to serve processed data in real time. This book shows you how to choose a relevant combination of big data technologies available within the Hadoop ecosystem. It focuses on processing long jobs, architecture, stream data patterns, log analysis, and real time analytics. Every pattern is illustrated with practical examples, which use the different open sourceprojects such as Logstash, Spark, Kafka, and so on. Traditional data infrastructures are built for digesting and rendering data synthesis and analytics from large amount of data. This book helps you to understand why you should consider using machine learning algorithms early on in the project, before being overwhelmed by constraints imposed by dealing with the high throughput of Big data. Scalable Big Data Architecture is for developers, data architects, and data scientists looking for a better understanding of how to choose the most relevant pattern for a Big Data project and which tools to integrate into that pattern.
Book Synopsis Architecting High Performing, Scalable and Available Enterprise Web Applications by : Shailesh Kumar Shivakumar
Download or read book Architecting High Performing, Scalable and Available Enterprise Web Applications written by Shailesh Kumar Shivakumar and published by Morgan Kaufmann. This book was released on 2014-10-29 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Architecting High Performing, Scalable and Available Enterprise Web Applications provides in-depth insights into techniques for achieving desired scalability, availability and performance quality goals for enterprise web applications. The book provides an integrated 360-degree view of achieving and maintaining these attributes through practical, proven patterns, novel models, best practices, performance strategies, and continuous improvement methodologies and case studies. The author shares his years of experience in application security, enterprise application testing, caching techniques, production operations and maintenance, and efficient project management techniques. Delivers holistic view of scalability, availability and security, caching, testing and project management Includes patterns and frameworks that are illustrated with end-to-end case studies Offers tips and troubleshooting methods for enterprise application testing, security, caching, production operations and project management Exploration of synergies between techniques and methodologies to achieve end-to-end availability, scalability, performance and security quality attributes 360-degree viewpoint approach for achieving overall quality Practitioner viewpoint on proven patterns, techniques, methodologies, models and best practices. Bulleted summary and tabular representation of concepts for effective understanding Production operations and troubleshooting tips
Book Synopsis Building a Scalable Data Warehouse with Data Vault 2.0 by : Dan Linstedt
Download or read book Building a Scalable Data Warehouse with Data Vault 2.0 written by Dan Linstedt and published by Morgan Kaufmann. This book was released on 2015-09-15 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Data Vault was invented by Dan Linstedt at the U.S. Department of Defense, and the standard has been successfully applied to data warehousing projects at organizations of different sizes, from small to large-size corporations. Due to its simplified design, which is adapted from nature, the Data Vault 2.0 standard helps prevent typical data warehousing failures. "Building a Scalable Data Warehouse" covers everything one needs to know to create a scalable data warehouse end to end, including a presentation of the Data Vault modeling technique, which provides the foundations to create a technical data warehouse layer. The book discusses how to build the data warehouse incrementally using the agile Data Vault 2.0 methodology. In addition, readers will learn how to create the input layer (the stage layer) and the presentation layer (data mart) of the Data Vault 2.0 architecture including implementation best practices. Drawing upon years of practical experience and using numerous examples and an easy to understand framework, Dan Linstedt and Michael Olschimke discuss: How to load each layer using SQL Server Integration Services (SSIS), including automation of the Data Vault loading processes. Important data warehouse technologies and practices. Data Quality Services (DQS) and Master Data Services (MDS) in the context of the Data Vault architecture. Provides a complete introduction to data warehousing, applications, and the business context so readers can get-up and running fast Explains theoretical concepts and provides hands-on instruction on how to build and implement a data warehouse Demystifies data vault modeling with beginning, intermediate, and advanced techniques Discusses the advantages of the data vault approach over other techniques, also including the latest updates to Data Vault 2.0 and multiple improvements to Data Vault 1.0
Download or read book Big Data written by Nathan Warren and published by . This book was released on 2015 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built. About the Book Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive. Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases. This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful. What's Inside Introduction to big data systems Real-time processing of web-scale data Tools like Hadoop, Cassandra, and Storm Extensions to traditional database skills About the Authors Nathan Marz is the creator of Apache Storm and the originator of the Lambda Architecture for big data systems. James Warren is an analytics architect with a background in machine learning and scientific computing.
